DualDRNet: A Unified Deep Learning Framework for Customer Baseline Load Estimation and Demand Response Potential Forecasting for Load Aggregators
Accurately valuing demand-side flexibility hinges on two tightly coupled tasks: reconstructing the customer baseline load (CBL) that would have occurred in the absence of demand-response (DR) events and, from that baseline, forecasting the flexibility of load that can be curtailed. Existing studies...
Furkejuvvon:
| Váldodahkkit: | , , , , |
|---|---|
| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
IEEE
2025-01-01
|
| Ráidu: | IEEE Access |
| Fáttát: | |
| Liŋkkat: | https://ieeexplore.ieee.org/document/11175367/ |
| Fáddágilkorat: |
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
|